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Modèle de communication affective pour agent conversationnel animé, basé sur des facettes de personnalité et des buts de communication "cachés"

Abstract : Embodied Conversational Agents (ECAs) are intelligent software entities with an embodiment used to communicate with users, using natural language. Their purpose is to exhibit the same properties as humans in face-to-face conversation, including the ability to produce and respond to verbal and nonverbal communication. Researchers in the field of ECAs try to create agents that can be more natural, believable and easy to use. Designing an ECA requires understanding that manner, personality, emotion, and appearance are very important issues to be considered. In this thesis, we are interested in increasing believability of ECAs by placing personality at the heart of the human-agent verbal interaction. We propose a model relating personality facets and hidden communication goals that can influence ECA behaviors. Moreover, we apply our model in agents that interact in a puzzle game application. We develop five distinct personality oriented agents using an expressive communication language and a plan-based BDI approach for modeling and managing dialogue according to our proposed model. In summary, we present and test an innovative approach to model mental aspects of ECAs trying to increase their believability and to enhance human-agent affective communication. With this research, we improve the understanding on how ECAs with expressive and affective characteristics can establish and maintain long-term human-agent relationships.
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https://tel.archives-ouvertes.fr/tel-00721769
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Submitted on : Monday, July 30, 2012 - 12:02:12 PM
Last modification on : Thursday, November 19, 2020 - 12:59:57 PM
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Michelle Camargo. Modèle de communication affective pour agent conversationnel animé, basé sur des facettes de personnalité et des buts de communication "cachés". Autre [cs.OH]. Université de Grenoble; 416 Univ Federal do Rio Grande do Sul, 2012. Français. ⟨NNT : 2012GRENM009⟩. ⟨tel-00721769⟩

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